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Measuring Bias in Contextualized Word Representations

Measuring Bias in Contextualized Word Representations

18 June 2019
Keita Kurita
Nidhi Vyas
Ayush Pareek
A. Black
Yulia Tsvetkov
ArXivPDFHTML

Papers citing "Measuring Bias in Contextualized Word Representations"

50 / 272 papers shown
Title
SynthBio: A Case Study in Human-AI Collaborative Curation of Text
  Datasets
SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets
Ann Yuan
Daphne Ippolito
Vitaly Nikolaev
Chris Callison-Burch
Andy Coenen
Sebastian Gehrmann
SyDa
104
20
0
11 Nov 2021
NxMTransformer: Semi-Structured Sparsification for Natural Language
  Understanding via ADMM
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM
Connor Holmes
Minjia Zhang
Yuxiong He
Bo Wu
21
18
0
28 Oct 2021
Post-processing for Individual Fairness
Post-processing for Individual Fairness
Felix Petersen
Debarghya Mukherjee
Yuekai Sun
Mikhail Yurochkin
FaML
14
80
0
26 Oct 2021
LMSOC: An Approach for Socially Sensitive Pretraining
LMSOC: An Approach for Socially Sensitive Pretraining
Vivek Kulkarni
Shubhanshu Mishra
A. Haghighi
12
13
0
20 Oct 2021
An Empirical Survey of the Effectiveness of Debiasing Techniques for
  Pre-trained Language Models
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models
Nicholas Meade
Elinor Poole-Dayan
Siva Reddy
16
123
0
16 Oct 2021
Improving Gender Fairness of Pre-Trained Language Models without
  Catastrophic Forgetting
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting
Zahra Fatemi
Chen Xing
Wenhao Liu
Caiming Xiong
CLL
17
34
0
11 Oct 2021
On a Benefit of Mask Language Modeling: Robustness to Simplicity Bias
On a Benefit of Mask Language Modeling: Robustness to Simplicity Bias
Ting-Rui Chiang
22
3
0
11 Oct 2021
An Empirical Investigation of Learning from Biased Toxicity Labels
An Empirical Investigation of Learning from Biased Toxicity Labels
Neel Nanda
J. Uesato
Sven Gowal
10
0
0
04 Oct 2021
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing
  Language Models
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models
Robert Wolfe
Aylin Caliskan
85
51
0
01 Oct 2021
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in
  NLP Systems through an Intersectional Lens
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens
Saad Hassan
Matt Huenerfauth
Cecilia Ovesdotter Alm
38
38
0
01 Oct 2021
Stepmothers are mean and academics are pretentious: What do pretrained
  language models learn about you?
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?
Rochelle Choenni
Ekaterina Shutova
R. Rooij
80
29
0
21 Sep 2021
Simple Entity-Centric Questions Challenge Dense Retrievers
Simple Entity-Centric Questions Challenge Dense Retrievers
Christopher Sciavolino
Zexuan Zhong
Jinhyuk Lee
Danqi Chen
RALM
11
159
0
17 Sep 2021
Mitigating Language-Dependent Ethnic Bias in BERT
Mitigating Language-Dependent Ethnic Bias in BERT
Jaimeen Ahn
Alice H. Oh
131
91
0
13 Sep 2021
Sustainable Modular Debiasing of Language Models
Sustainable Modular Debiasing of Language Models
Anne Lauscher
Tobias Lüken
Goran Glavas
47
120
0
08 Sep 2021
Hi, my name is Martha: Using names to measure and mitigate bias in
  generative dialogue models
Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue models
Eric Michael Smith
Adina Williams
22
28
0
07 Sep 2021
Diachronic Analysis of German Parliamentary Proceedings: Ideological
  Shifts through the Lens of Political Biases
Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases
Tobias Walter
Celina Kirschner
Steffen Eger
Goran Glavavs
Anne Lauscher
Simone Paolo Ponzetto
6
20
0
13 Aug 2021
Sexism in the Judiciary
Sexism in the Judiciary
Noa Baker Gillis
FaML
8
2
0
29 Jun 2021
Quantifying Social Biases in NLP: A Generalization and Empirical
  Comparison of Extrinsic Fairness Metrics
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics
Paula Czarnowska
Yogarshi Vyas
Kashif Shah
18
104
0
28 Jun 2021
Towards Understanding and Mitigating Social Biases in Language Models
Towards Understanding and Mitigating Social Biases in Language Models
Paul Pu Liang
Chiyu Wu
Louis-Philippe Morency
Ruslan Salakhutdinov
25
378
0
24 Jun 2021
A Survey of Race, Racism, and Anti-Racism in NLP
A Survey of Race, Racism, and Anti-Racism in NLP
Anjalie Field
Su Lin Blodgett
Zeerak Talat
Yulia Tsvetkov
21
122
0
21 Jun 2021
Evaluating Gender Bias in Hindi-English Machine Translation
Evaluating Gender Bias in Hindi-English Machine Translation
Gauri Gupta
Krithika Ramesh
Sanjay Singh
11
22
0
16 Jun 2021
Measuring and Improving BERT's Mathematical Abilities by Predicting the
  Order of Reasoning
Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning
Piotr Pikekos
Henryk Michalewski
Mateusz Malinowski
22
28
0
07 Jun 2021
Understanding and Countering Stereotypes: A Computational Approach to
  the Stereotype Content Model
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
Kathleen C. Fraser
I. Nejadgholi
S. Kiritchenko
11
37
0
04 Jun 2021
Towards Equal Gender Representation in the Annotations of Toxic Language
  Detection
Towards Equal Gender Representation in the Annotations of Toxic Language Detection
Elizabeth Excell
Noura Al Moubayed
9
14
0
04 Jun 2021
How to Adapt Your Pretrained Multilingual Model to 1600 Languages
How to Adapt Your Pretrained Multilingual Model to 1600 Languages
Abteen Ebrahimi
Katharina Kann
LRM
VLM
22
67
0
03 Jun 2021
Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language
  Models
Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models
Tejas Srinivasan
Yonatan Bisk
VLM
16
55
0
18 Apr 2021
Unmasking the Mask -- Evaluating Social Biases in Masked Language Models
Unmasking the Mask -- Evaluating Social Biases in Masked Language Models
Masahiro Kaneko
Danushka Bollegala
13
70
0
15 Apr 2021
NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media
NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media
Grace Luo
Trevor Darrell
Anna Rohrbach
6
84
0
13 Apr 2021
Low-Complexity Probing via Finding Subnetworks
Low-Complexity Probing via Finding Subnetworks
Steven Cao
Victor Sanh
Alexander M. Rush
11
51
0
08 Apr 2021
Self-Supervised Test-Time Learning for Reading Comprehension
Self-Supervised Test-Time Learning for Reading Comprehension
Pratyay Banerjee
Tejas Gokhale
Chitta Baral
SSL
15
28
0
20 Mar 2021
FairFil: Contrastive Neural Debiasing Method for Pretrained Text
  Encoders
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders
Pengyu Cheng
Weituo Hao
Siyang Yuan
Shijing Si
Lawrence Carin
23
100
0
11 Mar 2021
Interpretable bias mitigation for textual data: Reducing gender bias in
  patient notes while maintaining classification performance
Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance
J. Minot
N. Cheney
Marc E. Maier
Danne C. Elbers
C. Danforth
P. Dodds
FaML
12
3
0
10 Mar 2021
Large Pre-trained Language Models Contain Human-like Biases of What is
  Right and Wrong to Do
Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do
P. Schramowski
Cigdem Turan
Nico Andersen
Constantin Rothkopf
Kristian Kersting
25
281
0
08 Mar 2021
Causal Attention for Vision-Language Tasks
Causal Attention for Vision-Language Tasks
Xu Yang
Hanwang Zhang
Guojun Qi
Jianfei Cai
CML
23
148
0
05 Mar 2021
Biomedical Question Answering: A Survey of Approaches and Challenges
Biomedical Question Answering: A Survey of Approaches and Challenges
Qiao Jin
Zheng Yuan
Guangzhi Xiong
Qian Yu
Huaiyuan Ying
Chuanqi Tan
Mosha Chen
Songfang Huang
Xiaozhong Liu
Sheng Yu
21
95
0
10 Feb 2021
Bias Out-of-the-Box: An Empirical Analysis of Intersectional
  Occupational Biases in Popular Generative Language Models
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models
Hannah Rose Kirk
Yennie Jun
Haider Iqbal
Elias Benussi
Filippo Volpin
F. Dreyer
Aleksandar Shtedritski
Yuki M. Asano
6
180
0
08 Feb 2021
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and
  Fine-tuned Language Models
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
Daniel de Vassimon Manela
D. Errington
Thomas Fisher
B. V. Breugel
Pasquale Minervini
6
88
0
24 Jan 2021
Debiasing Pre-trained Contextualised Embeddings
Debiasing Pre-trained Contextualised Embeddings
Masahiro Kaneko
Danushka Bollegala
210
138
0
23 Jan 2021
Confronting Abusive Language Online: A Survey from the Ethical and Human
  Rights Perspective
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective
S. Kiritchenko
I. Nejadgholi
Kathleen C. Fraser
AILaw
20
83
0
22 Dec 2020
Model Choices Influence Attributive Word Associations: A Semi-supervised
  Analysis of Static Word Embeddings
Model Choices Influence Attributive Word Associations: A Semi-supervised Analysis of Static Word Embeddings
Geetanjali Bihani
Julia Taylor Rayz
11
2
0
14 Dec 2020
Cross-Loss Influence Functions to Explain Deep Network Representations
Cross-Loss Influence Functions to Explain Deep Network Representations
Andrew Silva
Rohit Chopra
Matthew C. Gombolay
TDI
13
15
0
03 Dec 2020
Unequal Representations: Analyzing Intersectional Biases in Word
  Embeddings Using Representational Similarity Analysis
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis
Michael A. Lepori
24
12
0
24 Nov 2020
Situated Data, Situated Systems: A Methodology to Engage with Power
  Relations in Natural Language Processing Research
Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Research
Lucy Havens
Melissa Mhairi Terras
Benjamin Bach
Beatrice Alex
9
21
0
11 Nov 2020
Semantic coordinates analysis reveals language changes in the AI field
Semantic coordinates analysis reveals language changes in the AI field
Zining Zhu
Yang Xu
Frank Rudzicz
18
0
0
01 Nov 2020
Image Representations Learned With Unsupervised Pre-Training Contain
  Human-like Biases
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases
Ryan Steed
Aylin Caliskan
SSL
17
156
0
28 Oct 2020
Towards Ethics by Design in Online Abusive Content Detection
Towards Ethics by Design in Online Abusive Content Detection
S. Kiritchenko
I. Nejadgholi
13
13
0
28 Oct 2020
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender
  Bias
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias
Marion Bartl
Malvina Nissim
Albert Gatt
9
122
0
27 Oct 2020
Discovering and Interpreting Biased Concepts in Online Communities
Discovering and Interpreting Biased Concepts in Online Communities
Xavier Ferrer-Aran
Tom van Nuenen
Natalia Criado
Jose Such
9
2
0
27 Oct 2020
On Transferability of Bias Mitigation Effects in Language Model
  Fine-Tuning
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning
Xisen Jin
Francesco Barbieri
Brendan Kennedy
Aida Mostafazadeh Davani
Leonardo Neves
Xiang Ren
19
5
0
24 Oct 2020
Inferring symmetry in natural language
Inferring symmetry in natural language
Chelsea Tanchip
Lei Yu
Aotao Xu
Yang Xu
8
5
0
16 Oct 2020
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